# Domenico Salvagnin

> researcher

**Wikidata**: [Q91603250](https://www.wikidata.org/wiki/Q91603250)  
**Source**: https://4ort.xyz/entity/domenico-salvagnin

## Summary
Domenico Salvagnin is an Italian computer scientist and researcher specializing in machine learning and algorithmic studies. He currently serves as an Associate Professor at the University of Padua, where he has been a faculty member since 2011.

## Biography
- Born: 1981
- Nationality: Italy
- Education: Master's degree (2005) and Doctor of Philosophy (2009) from the University of Padua.
- Known for: Academic research in machine learning and computer science.
- Employer(s): University of Padua (Associate Professor, 2018–Present; Assistant Professor, 2011–2018).
- Field(s): Computer science, machine learning.

## Contributions
Domenico Salvagnin has dedicated his career to the scientific study of computer science, with a specific focus on machine learning. His work involves the development and analysis of algorithms and statistical models that enable computer systems to perform complex tasks without relying on explicit instructions. Since beginning his doctoral research in 2006 at the University of Padua, Salvagnin has contributed to the academic understanding of computational efficiency and automated task performance.

His research output is documented across major scientific databases, including Scopus, DBLP, and the Padua Research Archive. As a scientist and university teacher, he has transitioned from foundational research during his PhD (completed in 2009) to senior academic leadership as an associate professor. His contributions are primarily disseminated through peer-reviewed publications and his work within the Department of Information Engineering (DEI). His academic presence is further established through international identifiers such as ORCID and VIAF, which track his ongoing influence in the field of algorithmic models.

## FAQs
### Q: What is Domenico Salvagnin's current academic position?
A: Domenico Salvagnin is an Associate Professor at the University of Padua in Italy. He has held this position since July 1, 2018, following a seven-year tenure as an assistant professor.

### Q: What are Domenico Salvagnin's primary areas of research?
A: His research focuses on computer science and machine learning. He specifically studies the statistical models and algorithms that allow computers to function without explicit instructions.

### Q: Where did Domenico Salvagnin receive his education?
A: He is an alumnus of the University of Padua, where he completed his Master's degree in 2005 and his PhD in 2009.

## Why They Matter
Domenico Salvagnin is a significant figure in the Italian computer science community, contributing to the advancement of machine learning at the University of Padua—one of the world's oldest research institutions. His work is vital to the evolution of autonomous systems, as he focuses on the underlying algorithms that allow machines to process information and execute tasks independently. 

By maintaining a consistent research trajectory from 2006 to the present, Salvagnin has helped bridge the gap between theoretical computer science and practical machine learning applications. His role as an associate professor involves both the creation of new scientific knowledge and the education of the next generation of computer scientists. His inclusion in global academic registries like Scopus and DBLP signifies his role in the international effort to refine statistical models, which are the backbone of modern artificial intelligence. Without the contributions of researchers like Salvagnin, the formal mathematical and algorithmic frameworks that power current machine learning technologies would lack the rigorous academic vetting required for institutional and industrial progress.

## Notable For
*   **Associate Professorship:** Appointed as Associate Professor at the University of Padua in 2018.
*   **Academic Longevity:** Over a decade of continuous research and teaching at the University of Padua's Department of Information Engineering.
*   **Machine Learning Research:** Specialized focus on the scientific study of algorithms and statistical models.
*   **International Recognition:** Indexed in major global research databases including DBLP, Scopus, and Dimensions.

## Body

### Academic Background and Education
Domenico Salvagnin’s academic career is centered at the University of Padua in Italy. He began his higher education in October 2000, pursuing a Master's degree which he completed on October 24, 2005. Following this, he entered a doctoral program in January 2006. He earned his Doctor of Philosophy (PhD) on March 26, 2009.

### Professional Career
Salvagnin has spent his professional career within the Italian university system. His primary roles include:
*   **Assistant Professor:** Served at the University of Padua from March 1, 2011, to June 30, 2018.
*   **Associate Professor:** Promoted to this rank on July 1, 2018, a position he currently maintains.
*   **Scientist and Teacher:** Recognized as a university teacher and scientist within the national and international academic community.

### Research and Field of Work
Salvagnin’s work is categorized under the broad field of computer science. His specific research interest is machine learning, defined as the study of algorithms and statistical models used by computer systems to perform tasks without explicit instructions. He is proficient in English, which facilitates his participation in the global scientific discourse.

### Digital and Academic Identifiers
Salvagnin’s research and professional identity are verified through several international authority files:
*   **ORCID:** 0000-0002-0232-2244
*   **Scopus Author ID:** 35175007400
*   **DBLP Author ID:** 60/4824
*   **VIAF ID:** 33150030701310962409
*   **SBN Author ID:** CFIV270747

## References

1. Czech National Authority Database
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-0232-2244/education/6266427)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-0232-2244/education/6266417)
4. [ORCID Public Data File 2021](https://pub.orcid.org/v3.0/0000-0002-0232-2244/employment/6266438)
5. [ORCID Public Data File 2021](https://pub.orcid.org/v3.0/0000-0002-0232-2244/employment/6266432)
6. OPAC SBN
7. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-0232-2244/researcher-urls/1510582)
8. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-0232-2244/external-identifiers/137652)
9. [SciGraph](https://scigraph.springernature.com/person.010553422235.54)
10. National Library of Israel Names and Subjects Authority File